Development and Validation of a Deep Learning Predictive Model Combining Clinical and Radiomic Features for Short-Term Postoperative Facial Nerve Function in Acoustic Neuroma Patients.

Journal: Current medical science
Published Date: Apr 14, 2023

Abstract

OBJECTIVE: This study aims to construct and validate a predictable deep learning model associated with clinical data and multi-sequence magnetic resonance imaging (MRI) for short-term postoperative facial nerve function in patients with acoustic neuroma.

Authors

  • Meng-Yang Wang
    Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China.
  • Chen-Guang Jia
    Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China.
  • Huan-Qing Xu
    School of Medical Information Engineering, Anhui University of Chinese Medicine, Hefei, 230012, China.
  • Cheng-Shi Xu
    Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China.
  • Xiang Li
    Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States.
  • Wei Wei
    Dept. Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA.
  • Jin-Cao Chen
    Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China. chenjincao2012@163.com.

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